DataVisor · 1 day ago
AI/Machine Learning Engineering Intern (MS/Ph.D. New Grad)
DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. The AI/Machine Learning Engineering Intern will work closely with experienced engineers and data scientists to help build the Intelligence Layer and Data Consortium that power DataVisor’s real-time fraud detection platform, focusing on distributed systems, data pipelines, machine learning infrastructure, and applied AI.
Responsibilities
Data Engineering & Pipelines
Assist in building and maintaining high-throughput data pipelines using technologies such as Spark, Kafka, or Flink
Help process and aggregate real-time signals (e.g., device fingerprints, behavioral data) into shared intelligence systems
Distributed Systems & Scalability
Learn to design and optimize backend systems that support large-scale, real-time decisioning
Contribute to improving system performance, reliability, and latency under high transaction volumes
AI Applications & Agentic Flows
Support the development of AI applications and agentic workflows using state-of-the-art LLMs (e.g., OpenAI, Anthropic, Google)
Experiment with natural language interfaces, intelligent rule suggestions, and automated strategy generation
Machine Learning Pipelines
Help deploy and monitor pipelines for unsupervised and supervised ML models
Assist with integrating models into real-time scoring APIs and decision engines
Privacy & Security
Learn best practices for privacy-first system design, including tokenization and hashing to protect sensitive data
Cross-Functional Collaboration
Work alongside Data Science, Product, and Engineering teams to test ideas, validate models, and ship production features
Qualification
Required
Recently graduated or currently completing an MS or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field
Passionate about learning how real-world AI systems are built at scale
Comfortable working with complex technical problems and eager to grow through mentorship
Strong programming skills in Python
Familiarity with at least one of the following: distributed systems, machine learning, data engineering, or backend development
Academic or project experience with big data frameworks (Spark, Kafka, Flink) is a plus
Understanding of core ML concepts (supervised / unsupervised learning)
Preferred
Coursework or project experience with: LLMs, RAG architectures, LangChain, or vector databases
Cloud platforms (AWS) and containers (Docker)
Stream processing or real-time systems
Interest in fraud, risk, or security domains (not required)
Benefits
Hands-on experience working on production-scale AI systems
Mentorship from senior engineers and data scientists
Exposure to cutting-edge agentic AI and LLM applications
Opportunity for full-time conversion based on performance and business needs
Company
DataVisor
DataVisor is a fraud detection company powered by transformational AI technology.
H1B Sponsorship
DataVisor has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (6)
2023 (4)
2022 (8)
2021 (8)
2020 (13)
Funding
Current Stage
Growth StageTotal Funding
$94.5MKey Investors
HSGGenesis Capital
2022-12-14Series Unknown· $40M
2019-10-21Series C
2018-02-09Series C· $40M
Recent News
2025-08-20
Company data provided by crunchbase